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From Home Observability Engineer Jobs in Chicago, IL

MethodHub

Splunk Observability Engineer

Chicago, IL · On-site

Splunk Observability Engineer Location: Chicago, IL (Hybrid) Duration: 12 months Synopsis: To ... moving the organization from reactive "firefighting" to proactive "pattern-based" incident ...

Ripple

Site Reliability Engineer, Observability

Chicago, IL · On-site

$58.75 - $78/hr

WHAT YOU'LL DO: * Observability Engineering * Design and implement monitoring, alerting, and ... expanding from there. * Build out incident management foundations that are largely yours to ...

Ripple

Site Reliability Engineer, Observability

Chicago, IL · On-site

$58.75 - $78/hr

WHAT YOU'LL DO: * Observability Engineering * Design and implement monitoring, alerting, and ... expanding from there. * Build out incident management foundations that are largely yours to ...

Focused

Staff SRE - Observability

Chicago, IL · On-site

$58.75 - $78/hr

We work with a variety of clients from different industries, collaborating as we get new products ... Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering ...

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a growing hardware engineering team. Our culture emphasizes teamwork and focuses on continuous ...

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$178.7K

How much do from home observability engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for from home observability engineer in Chicago, IL is $109,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Observability Engineer jobs in Chicago, IL?

The most popular types of Observability Engineer jobs in Chicago, IL are:

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Cities near Chicago, IL with the most From Home Observability Engineer job openings:

From Home Observability Engineer jobs near you

Splunk Observability Engineer

MethodHub

Chicago, IL • On-site

Other

Posted 4 days ago

Job description

Splunk Observability Engineer

Location: Chicago, IL (Hybrid)

Duration: 12 months

Synopsis:

To design, implement, and optimize a full-stack observability strategy using the Splunk Observability Cloud (formerly SignalFx) and Splunk Enterprise/Cloud. You will ensure that engineering teams have 360-degree visibility into system health, moving the organization from reactive "firefighting" to proactive "pattern-based" incident prevention.

Key Responsibilities:

  • Data Orchestration: Architect the ingestion of the "Three Pillars" (Metrics, Logs, Traces) using OpenTelemetry (OTel) collectors.
  • Aggregation Strategy: Develop logic to aggregate high-cardinality data to reduce "noise" while maintaining "signal" for troubleshooting.
  • Analytical Modeling: Use SPL (Search Processing Language) and SignalFlow to perform pattern analysis, detecting anomalies before they trigger traditional threshold alerts.
  • Visual Storytelling: Build executive and technical dashboards that correlate disparate data points (e.g., showing how a spike in 500-errors in Logs relates to a specific span in a Trace).

Required Hands on Technical Skills:

  1. Telemetry & Data Specialization
  • Logs: Proficiency in "Logging-in-Context." You must be able to link logs directly to trace IDs so developers can jump from a failing trace to the specific line of code in the logs.
  • Metrics: Expertise in SignalFlow (Splunk s background streaming analytics language). You should know how to calculate percentiles ($P95, P99$), rates of change, and historical averages.
  • Traces: Deep understanding of Distributed Tracing. You must know how to instrument applications (Java, Python, Go) to capture spans and identify bottlenecks in microservices.
  1. Pattern Analysis & Aggregation
  • Anomaly Detection: Ability to configure Metric Finder and MDetector using standard deviations or "Mean Absolute Deviation" to find outliers.
  • Data Scrubbing: Skills in using Splunk Ingest Actions or Edge Processors to filter, mask, or aggregate data at the edge to save on license costs and improve search speed.
  • Pattern Discovery: Using Splunk s machine learning commands (e.g., findkeywords, cluster) to group millions of log events into a few dozen "patterns" for faster root cause analysis.
  1. Hands on - Dashboards & Visualization
  • High-Cardinality Handling: Designing dashboards that don t "break" when viewing thousands of containers.
  • Contextual Drill-downs: Building "Glass Tables" (in ITSI) or Unified Dashboards that allow a user to click a metric and immediately see the associated logs.
  • Frameworks: Familiarity with the Dashboard Studio and JSON-based dashboard definitions for version control (GitOps).

Preferred Qualifications & Certifications:

  • DevOps & IAC skills
  • Splunk Cloud Certified Metrics User: Focuses on the metrics and alerting side.
  • Splunk Core Certified Power User: Essential for mastering complex SPL for log analysis.
  • OpenTelemetry Expert: Knowledge of the OTel Collector configuration (receivers, processors, exporters) is currently the most "in-demand" skill for this role.

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